不确定的中心支持向量机  

Uncertain proximal Support Vector Machine

作　　者：阎满富[1] 王朝霞[1] 

机构地区：[1]唐山师范学院数学系,河北唐山063000

出　　处：《计算机工程与应用》2007年第25期96-97,110,共3页Computer Engineering and Applications

基　　金：国家自然科学基金(the National Natural Science Foundation of China under Grant No.10371131) 。

摘　　要：在一般支持向量机中,训练集的每个元素(xi,yi),i=1,2,…,l,对输入xi有确定的类别标号yi。而在许多实际问题中,xi的类别往往是不确定的,常常是以概率zi+属于正类的概率zi-属于负类。针对这种实际情况,改造训练集,把原来的yi,用z+i,z-i代替,然后建立分类最优先模型,构建不确定中心支持向量机。In ordinary Support Vector Machine,for each elment （xi ,yi ）,i=1,2, ……,l of a training set,input of xi has a definite class number Yi .While in practice,class of x is rarely fixed,x generally belongs to positive Class with probability of zi^＊ or .x i or yi generally belongs to negative class with probability of z^-i.In that light,this paper has modified the training set,In which yi is replaced by zi^＋,zi^- and classification optimal model and Uncertain Proximal Support Vector Machine are construct in turn.

关 键 词：不确定 中心 支持向量机 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]